Use of Remote Sensing Data for Landslide Change Detection: Montescaglioso Large Landslide (Basilicata, Southern Italy)

Use of Remote Sensing Data for Landslide Change Detection: Montescaglioso Large Landslide (Basilicata, Southern Italy)

Stefania Pascale, Vittoria Pastore, Francesco Sdao, Aurelia Sole, Dimitri Roubis, Pietro Lorenzo
Copyright: © 2012 |Pages: 12
DOI: 10.4018/jaeis.2012010102
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Abstract

Remote sensing techniques have been widely used since the 1990s in landslide research, deploying for this purpose different spatial and spectral resolution imagery. This research includes photo-interpretation and inventory of large landslides, determinant factors analysis, stereo-plotting of movements, and automatic detection by textural analysis. The potential or intrinsic factors of landslides include geological and morphological factors, while the external or triggering factors include earthquakes, climate, and hydrological and human activities (deforestation, the expansion of urban areas, and the increase of agricultural activity). In this paper, the variations of land use are analyzed using a historical series of aerial-photographic and satellite data (1988 – 2006). Land use affects the stability of landslides. In this paper the proposed model has been applied in the Montescagliso municipality (Basilicata, Southern Italy).
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Study Area: Geological, Geo-Morphological And Archaeological Aspects Watershed Under Study

The examined area lies in the town territory of Montescaglioso (Figure 1), more precisely in orographic left of the Bradano River. The municipal area of Montescagliso was selected as suitable for the evaluation of the spatial and temporal variations of “Madonna La Nova” landslide. The interest in this territory arose because it is highly representative of the geo-morphological and geological settings of landslide processes. The study area of Montescagliso covers 4.5 km2 approximately.

Figure 1.

Study area. In the box it is visible the aerial photographs on the “Madonna La Nova” area of Montescaglioso

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